AL

Alva Labs

Talent Acquisition & HR Technology

HR & RecruitingAIPsychometric TestingCandidate AssessmentHiring
Function:Talent Acquisition
Subfunction:Screening & assessments
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Founded
2017
Employees
51-100 employees (~65)
Funding
$14.2M (EUR 11.7M / $13.3M Series A, 2022)
Stage
Series A (2022)
Report version: Oct 20, 2025

1. Products/Services & Features

  • Main Offerings:

    • Psychometric assessments (personality, logic, leadership, coding tests)
    • Candidate screening and evaluation platform
    • Hiring system with data-driven insights and analytics
  • Feature Breakdown: Personality assessments, Logic tests, Leadership assessments, Coding tests, ATS integrations, Analytics dashboard, Candidate experience optimization, Bias detection and mitigation, Team fit analysis, Unlimited users and candidates per subscription tier (Departments: HR, Talent Acquisition, Recruiting, People Operations)

  • Business Industry Gearing: Enterprise and mid-market organizations with dedicated TA functions; particularly strong in Nordics and UK; expanding globally

2. Security & Compliance

  • Certifications: Not certified (as of October 2025), ISO 27001 (Information Security Management), GDPR Compliant, ISO/IEC 42001 (Responsible AI), ISO 10667-2 (Fairness and Quality in Workplace Assessments)

  • Vendors/Tools: Not specified in available sources

  • Risk Profile:

    • Breaches: No published record of significant security breaches
    • Features: ISO 27001 certification ensures systematic audit trails, access controls, and incident response; GDPR compliance mandates breach notification and data access logs; ISO/IEC 42001 certification covers responsible AI governance

3. User Feedback & Adoption

  • Aggregated Reviews: Positive reviews on G2 and Capterra; users highlight ease of use, reliability (93% uptime), strong customer support (9.3/10), and effective integrations (87% positive feedback)

    • Pros: Super user-friendly interface, exceptional customer support, high uptime and reliability, excellent ATS integrations, strong analytics features, time-saving automation, effective bias reduction
    • Cons: Limited transparency in analytics depth, some users want more advanced features (mobile, simulations), public perception data could be clearer
  • Adoption Insights:

    • Adoption Ease: High - intuitive interface, easy setup, strong onboarding support from customer success teams
    • Adoption Cultural Fit: Excellent for organizations committed to fair, evidence-based hiring; aligns with diversity and inclusion initiatives; requires buy-in from HR and TA leadership
  • Metrics: Not publicly disclosed; strong customer retention indicated by 600+ enterprise customers and positive reviews

  • Barriers: Initial learning curve for assessment interpretation; requires organizational commitment to data-driven hiring; potential resistance from hiring managers accustomed to traditional CV-based screening

4. Monetization & Business Model

  • Revenue Model: SaaS subscription model based on number of hires per year; Pay-As-You-Go option also available

  • Pricing: Pay-As-You-Go: $390 USD per job position; Grow Plan: $289/month (10 hires/year, billed annually); Scale Plan: $799/month (10 hires/year, billed annually); Enterprise: Custom pricing (Sources: https://www.alvalabs.io/pricing, G2, Capterra, comparison sites)

  • Market Context:

    • TAM: Global HR technology and talent acquisition market estimated at $20B+; psychometric assessment segment growing at 8-10% CAGR
    • Growth Stage: Growth stage; expanding internationally from Nordic base; recognized as one of Sweden's top 22 SaaS rising stars (Breakit 2025)

5. Leadership & Recent Developments

Name Description LinkedIn X Account
Malcolm Burenstam Linder Founder & CEO; Background in business and economics from Stockholm School of Economics; prior experience at EQT Partners (venture fund); founded Alva Labs to create fair, data-driven recruitment https://se.linkedin.com/in/malcolmburenstamlinder N/A
Björn Ström Co-founder & CTO; Technical co-founder responsible for product development and engineering; expertise in machine learning and data science https://se.linkedin.com/in/bjornstrom N/A
Shahab Sayardoust Advisor; Licensed psychologist with expertise in leadership assessment and organizational psychology; brings scientific rigor to psychometric testing methodology https://se.linkedin.com/in/shahabomino N/A
  • Key Metrics Update:

    • Funding: Series A: $13.3M (January 2022) led by VNV Global
    • Employee Growth: Approximately 72 employees as of October 2025; company has grown from startup to enterprise-scale operations
  • News/Trends:

    • News Launch: ISO/IEC 42001 certification achieved (October 2025); Named one of Breakit's 22 rising SaaS stars in Sweden (October 2025)
    • News Partnerships: Partnership with Ving Sverige for large-scale hiring; Integration with We Select's Talent Software (May 2025); Partnerships with Deloitte, Daniel Wellington, Arla, and 600+ enterprises
    • News Funding: Series A funding of $13.3M in January 2022; no recent Series B announced as of October 2025
    • News Challenges: Expanding internationally while maintaining product quality; competing with established players like TestGorilla and Vervoe; navigating evolving AI regulations

6. Target Audience & Use Cases

  • Target Market: Enterprise and mid-market organizations (51-200+ employees) with dedicated HR and TA functions; companies prioritizing fair, data-driven hiring

  • Target Users & Personas: HR professionals, Talent Acquisition managers, Recruiters, HR directors, People Operations teams

  • User Experience Level: Intermediate to Advanced; users typically have HR/TA background; platform designed for both technical and non-technical users

  • Key Use Cases:

    • Large-scale hiring: Companies hiring 100+ candidates annually use Alva to streamline screening and reduce time-to-hire by up to 60%
    • Bias reduction and diversity: Organizations implementing DEI initiatives use psychometric assessments to remove CV bias and identify diverse talent pools
    • Predictive hiring accuracy: Companies seeking to reduce failed hires and improve retention use Alva's science-backed assessments to predict job success

7. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: Reduces time-to-hire, improves hiring accuracy, eliminates CV bias, provides objective candidate comparison, integrates with existing ATS, enables data-driven hiring decisions, improves candidate experience
    • ROI Examples: Customers report 33% reduction in hiring failures within probation; 26% fewer offer declines due to improved candidate experience; top performers identified as 125-800% more productive than average peers
  • Fit Assessment: Excellent fit for enterprise TA teams seeking fair, efficient, science-backed hiring; strong product-market fit in Nordics; expanding fit in UK and North America

  • Custom Rec Flags:

    • Priority ICP: Mid-market to enterprise organizations (200-5000+ employees) with high hiring volumes, dedicated TA teams, and commitment to fair hiring practices
    • Short Term Goals: Expand international presence beyond Nordics and UK; achieve Series B funding; expand product capabilities (e.g., advanced analytics, mobile); increase market share in North America

8. Data Sourcing Notes

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